I have an xarray.Dataarray
with 4 coordinates: fp, station, run_date, elnu
Dimensions are currently (same order): ( 1
, 2
, 3261
, 417
)
Station has the values "101470" and "108700", want to put these two together to have a dimension of ( 1
, 1
, 3261*2
, 417
) afterwards, I kind of want to reshape them. Problem is, I can't figure out how to do that and how to solve the problem that they would then have the same coordinates (if I would act like they would have the same station).
Maybe I just don't find the right words to search for on google (not native English). Appreciate any help.
The functionality you're looking for is in xarray's .stack()
method. Example:
>>> import xarray
>>> import numpy as np
>>> da = xarray.DataArray(np.zeros((1, 2, 3261, 417)), dims=['fp', 'station', 'run_date', 'elnu'])
>>> da
<xarray.DataArray (fp: 1, station: 2, run_date: 3261, elnu: 417)>
array([[[[ 0., ..., 0.],
...,
[ 0., ..., 0.]],
[[ 0., ..., 0.],
...,
[ 0., ..., 0.]]]])
Dimensions without coordinates: fp, station, run_date, elnu
>>> da.stack(station_date=['station', 'run_date'])
<xarray.DataArray (fp: 1, elnu: 417, station_date: 6522)>
array([[[ 0., 0., ..., 0., 0.],
[ 0., 0., ..., 0., 0.],
...,
[ 0., 0., ..., 0., 0.],
[ 0., 0., ..., 0., 0.]]])
Coordinates:
* station_date (station_date) MultiIndex
- station (station_date) int64 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ...
- run_date (station_date) int64 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 ...
Dimensions without coordinates: fp, elnu
Follow up with .transpose()
and/or .expand_dims()
to reorder dimensions to your desired order.
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